C. Stratified sampling
Stratified sampling involves dividing the population into homogeneous groups or strata based on certain characteristics (in this case, states) and then randomly selecting samples from each stratum. Since the goal is to collect a similar proportion of data from every state, stratified sampling would be the most appropriate method. This ensures that each state is represented in the sample proportionally to its size in the population, thus achieving a balanced representation across all states.
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Swift_and_Quick
6 months, 3 weeks ago